System And Method For Detection Of High-Interest Events In Video Data
AssigneeRobert Bosch GmbH
InventorsNaveen Ramakrishnan, Iftekhar Naim
Life of this patent
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Abstract
A method for event identification in video data includes identifying a feature vector having data corresponding to at least one of a position and a direction of movement of an object in video data, generating an estimated feature vector corresponding to the feature vector using a dictionary including a plurality of basis vectors, identifying an error between the estimated feature vector and the feature vector, identifying a high-interest event in the video data in response to the identified error exceeding a threshold, and displaying the video data including the high-interest event on a video output device only in response to the error exceeding the threshold.
Claims30
A method for monitoring video data comprising:
- identifying a feature vector of an event having data corresponding to at least one of a position and a direction of movement of an object in video data;
- generating an estimated feature vector corresponding to the feature vector using a dictionary that includes a plurality of basis vectors;
- identifying an error between the estimated feature vector and the identified feature vector;
- identifying a high-interest event in the video data in response to the identified error exceeding a threshold;
- and
- displaying the video data that includes the high-interest event on a video output device only in response to the identified error exceeding the threshold.
A video monitoring system comprising:
- a camera configured to generate video data of events, each event including an object in the video data;
- a video output device configured to display portions of the video data generated by the camera;
- and
- a processor operatively connected to the camera, the video output device, and a memory, the processor being configured to:
- identify a feature vector of an event comprising data corresponding to at least one of a position and a direction of movement of an object in video data received from the camera;
- generate an estimated feature vector corresponding to the feature vector using a dictionary stored in the memory that includes a plurality of basis vectors;
- identify an error between the estimated feature vector and the feature vector;
- identify a high-interest event in the video data in response to the identified error exceeding a threshold;
- and
- display the video data that includes the high-interest event on the video output device only in response to the identified error exceeding the threshold.
Dependencies are inferred from the claim text.